Overview

Brought to you by YData

Dataset statistics

Number of variables	39
Number of observations	164750
Missing cells	625316
Missing cells (%)	9.7%
Duplicate rows	5
Duplicate rows (%)	< 0.1%
Total size in memory	230.5 MiB
Average record size in memory	1.4 KiB

Variable types

Numeric	12
Categorical	18
Text	8
DateTime	1

Alerts

Dataset has 5 (< 0.1%) duplicate rows	Duplicates
`batsman_runs` is highly overall correlated with `total_runs`	High correlation
`bye_runs` is highly overall correlated with `dismissal_kind`	High correlation
`city` is highly overall correlated with `umpire3` and 1 other fields	High correlation
`dismissal_kind` is highly overall correlated with `bye_runs` and 1 other fields	High correlation
`extra_runs` is highly overall correlated with `legbye_runs` and 2 other fields	High correlation
`id` is highly overall correlated with `match_id` and 2 other fields	High correlation
`inning` is highly overall correlated with `is_super_over`	High correlation
`is_super_over` is highly overall correlated with `inning` and 1 other fields	High correlation
`legbye_runs` is highly overall correlated with `extra_runs`	High correlation
`match_id` is highly overall correlated with `id` and 2 other fields	High correlation
`penalty_runs` is highly overall correlated with `dismissal_kind` and 2 other fields	High correlation
`result` is highly overall correlated with `umpire3`	High correlation
`season` is highly overall correlated with `id` and 2 other fields	High correlation
`team1` is highly overall correlated with `umpire3`	High correlation
`team2` is highly overall correlated with `toss_winner` and 2 other fields	High correlation
`toss_decision` is highly overall correlated with `umpire3`	High correlation
`toss_winner` is highly overall correlated with `team2` and 2 other fields	High correlation
`total_runs` is highly overall correlated with `batsman_runs`	High correlation
`umpire3` is highly overall correlated with `city` and 13 other fields	High correlation
`venue` is highly overall correlated with `city` and 1 other fields	High correlation
`wide_runs` is highly overall correlated with `extra_runs`	High correlation
`win_by_runs` is highly overall correlated with `umpire3` and 1 other fields	High correlation
`win_by_wickets` is highly overall correlated with `win_by_runs`	High correlation
`winner` is highly overall correlated with `team2` and 2 other fields	High correlation
`is_super_over` is highly imbalanced (99.4%)	Imbalance
`bye_runs` is highly imbalanced (98.7%)	Imbalance
`noball_runs` is highly imbalanced (98.4%)	Imbalance
`penalty_runs` is highly imbalanced (> 99.9%)	Imbalance
`result` is highly imbalanced (93.2%)	Imbalance
`dl_applied` is highly imbalanced (86.2%)	Imbalance
`player_dismissed` has 156593 (95.0%) missing values	Missing
`dismissal_kind` has 156593 (95.0%) missing values	Missing
`fielder` has 158832 (96.4%) missing values	Missing
`city` has 1700 (1.0%) missing values	Missing
`umpire3` has 150460 (91.3%) missing values	Missing
`wide_runs` has 159739 (97.0%) zeros	Zeros
`legbye_runs` has 161989 (98.3%) zeros	Zeros
`batsman_runs` has 65904 (40.0%) zeros	Zeros
`extra_runs` has 155872 (94.6%) zeros	Zeros
`total_runs` has 58061 (35.2%) zeros	Zeros
`win_by_runs` has 88526 (53.7%) zeros	Zeros
`win_by_wickets` has 78373 (47.6%) zeros	Zeros

Reproduction

Analysis started	2025-05-23 17:35:35.398056
Analysis finished	2025-05-23 17:36:14.792394
Duration	39.39 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

match_id
Real number (ℝ)

High correlation

Distinct	696
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	977.95176

Minimum	1
Maximum	7953
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	35
Q1	175
median	349
Q3	521
95-th percentile	7919
Maximum	7953
Range	7952
Interquartile range (IQR)	346

Descriptive statistics

Standard deviation	2147.6718
Coefficient of variation (CV)	2.1960918
Kurtosis	6.501191
Mean	977.95176
Median Absolute Deviation (MAD)	173
Skewness	2.901471
Sum	1.6111755 × 10⁸
Variance	4612494.3
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126	267	0.2%
34	263	0.2%
476	262	0.2%
534	262	0.2%
388	261	0.2%
190	259	0.2%
570	259	0.2%
536	258	0.2%
401	258	0.2%
257	257	0.2%
Other values (686)	162144	98.4%

Value	Count	Frequency (%)
1	248	0.2%
2	247	0.1%
3	218	0.1%
4	247	0.1%
5	248	0.2%
6	216	0.1%
7	254	0.2%
8	212	0.1%
9	226	0.1%
10	239	0.1%

Value	Count	Frequency (%)
7953	241	0.1%
7952	245	0.1%
7951	247	0.1%
7950	247	0.1%
7949	247	0.1%
7948	247	0.1%
7947	249	0.2%
7946	245	0.1%
7945	246	0.1%
7944	245	0.1%

inning
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 MiB

1	85409
2	79260
3	43
4	38

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	164750
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	85409	51.8%
2	79260	48.1%
3	43	< 0.1%
4	38	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	85409	51.8%
2	79260	48.1%
3	43	< 0.1%
4	38	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	85409	51.8%
2	79260	48.1%
3	43	< 0.1%
4	38	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164750	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	85409	51.8%
2	79260	48.1%
3	43	< 0.1%
4	38	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	164750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	85409	51.8%
2	79260	48.1%
3	43	< 0.1%
4	38	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	85409	51.8%
2	79260	48.1%
3	43	< 0.1%
4	38	< 0.1%

batting_team
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

Mumbai Indians	20673
Royal Challengers Bangalore	19300
Kings XI Punjab	19211
Kolkata Knight Riders	19155
Delhi Daredevils	18786
Other values (9)	67625

Length

Max length	27
Median length	22
Mean length	17.983454
Min length	13

Characters and Unicode

Total characters	2962774
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sunrisers Hyderabad
2nd row	Sunrisers Hyderabad
3rd row	Sunrisers Hyderabad
4th row	Sunrisers Hyderabad
5th row	Sunrisers Hyderabad

Common Values

Value	Count	Frequency (%)
Mumbai Indians	20673	12.5%
Royal Challengers Bangalore	19300	11.7%
Kings XI Punjab	19211	11.7%
Kolkata Knight Riders	19155	11.6%
Delhi Daredevils	18786	11.4%
Chennai Super Kings	17711	10.8%
Rajasthan Royals	15677	9.5%
Sunrisers Hyderabad	11132	6.8%
Deccan Chargers	9034	5.5%
Pune Warriors	5443	3.3%
Other values (4)	8628	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	36922	9.0%
mumbai	20673	5.0%
indians	20673	5.0%
royal	19300	4.7%
challengers	19300	4.7%
bangalore	19300	4.7%
xi	19211	4.7%
punjab	19211	4.7%
kolkata	19155	4.7%
knight	19155	4.7%
Other values (21)	197039	48.1%

Most occurring characters

Value	Count	Frequency (%)
a	334823	11.3%
n	245948	8.3%
	245189	8.3%
e	224734	7.6%
i	204024	6.9%
s	194721	6.6%
r	172255	5.8%
l	151186	5.1%
g	110671	3.7%
h	101245	3.4%
Other values (27)	977978	33.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2288435	77.2%
Uppercase Letter	429150	14.5%
Space Separator	245189	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	334823	14.6%
n	245948	10.7%
e	224734	9.8%
i	204024	8.9%
s	194721	8.5%
r	172255	7.5%
l	151186	6.6%
g	110671	4.8%
h	101245	4.4%
u	86278	3.8%
Other values (11)	462550	20.2%

Uppercase Letter

Value	Count	Frequency (%)
K	78396	18.3%
R	73289	17.1%
D	46606	10.9%
C	46045	10.7%
I	39884	9.3%
S	32323	7.5%
P	28134	6.6%
M	20673	4.8%
B	19300	4.5%
X	19211	4.5%
Other values (5)	25289	5.9%

Space Separator

Value	Count	Frequency (%)
	245189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2717585	91.7%
Common	245189	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	334823	12.3%
n	245948	9.1%
e	224734	8.3%
i	204024	7.5%
s	194721	7.2%
r	172255	6.3%
l	151186	5.6%
g	110671	4.1%
h	101245	3.7%
u	86278	3.2%
Other values (26)	891700	32.8%

Common

Value	Count	Frequency (%)
	245189	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2962774	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	334823	11.3%
n	245948	8.3%
	245189	8.3%
e	224734	7.6%
i	204024	6.9%
s	194721	6.6%
r	172255	5.8%
l	151186	5.1%
g	110671	3.7%
h	101245	3.4%
Other values (27)	977978	33.0%

bowling_team
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

Mumbai Indians	20573
Royal Challengers Bangalore	19627
Kolkata Knight Riders	19290
Kings XI Punjab	19055
Delhi Daredevils	18725
Other values (9)	67480

Length

Max length	27
Median length	22
Mean length	18.008115
Min length	13

Characters and Unicode

Total characters	2966837
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Royal Challengers Bangalore
2nd row	Royal Challengers Bangalore
3rd row	Royal Challengers Bangalore
4th row	Royal Challengers Bangalore
5th row	Royal Challengers Bangalore

Common Values

Value	Count	Frequency (%)
Mumbai Indians	20573	12.5%
Royal Challengers Bangalore	19627	11.9%
Kolkata Knight Riders	19290	11.7%
Kings XI Punjab	19055	11.6%
Delhi Daredevils	18725	11.4%
Chennai Super Kings	17533	10.6%
Rajasthan Royals	15813	9.6%
Sunrisers Hyderabad	10936	6.6%
Deccan Chargers	9039	5.5%
Pune Warriors	5457	3.3%
Other values (4)	8702	5.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	36588	8.9%
mumbai	20573	5.0%
indians	20573	5.0%
royal	19627	4.8%
challengers	19627	4.8%
bangalore	19627	4.8%
kolkata	19290	4.7%
knight	19290	4.7%
riders	19290	4.7%
xi	19055	4.6%
Other values (21)	196622	47.9%

Most occurring characters

Value	Count	Frequency (%)
a	336067	11.3%
n	245818	8.3%
	245412	8.3%
e	225133	7.6%
i	203478	6.9%
s	194728	6.6%
r	172375	5.8%
l	152675	5.1%
g	111257	3.8%
h	101641	3.4%
Other values (27)	978253	33.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2292208	77.3%
Uppercase Letter	429217	14.5%
Space Separator	245412	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	336067	14.7%
n	245818	10.7%
e	225133	9.8%
i	203478	8.9%
s	194728	8.5%
r	172375	7.5%
l	152675	6.7%
g	111257	4.9%
h	101641	4.4%
u	85799	3.7%
Other values (11)	463237	20.2%

Uppercase Letter

Value	Count	Frequency (%)
K	78396	18.3%
R	74086	17.3%
D	46489	10.8%
C	46199	10.8%
I	39628	9.2%
S	32012	7.5%
P	28055	6.5%
M	20573	4.8%
B	19627	4.6%
X	19055	4.4%
Other values (5)	25097	5.8%

Space Separator

Value	Count	Frequency (%)
	245412	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2721425	91.7%
Common	245412	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	336067	12.3%
n	245818	9.0%
e	225133	8.3%
i	203478	7.5%
s	194728	7.2%
r	172375	6.3%
l	152675	5.6%
g	111257	4.1%
h	101641	3.7%
u	85799	3.2%
Other values (26)	892454	32.8%

Common

Value	Count	Frequency (%)
	245412	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2966837	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	336067	11.3%
n	245818	8.3%
	245412	8.3%
e	225133	7.6%
i	203478	6.9%
s	194728	6.6%
r	172375	5.8%
l	152675	5.1%
g	111257	3.8%
h	101641	3.4%
Other values (27)	978253	33.0%

over
Real number (ℝ)

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.151879

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	19
Maximum	20
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.6756659
Coefficient of variation (CV)	0.55907543
Kurtosis	-1.1823057
Mean	10.151879
Median Absolute Deviation (MAD)	5
Skewness	0.051671052
Sum	1672522
Variance	32.213183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	8837	5.4%
2	8763	5.3%
3	8672	5.3%
4	8644	5.2%
5	8612	5.2%
6	8607	5.2%
7	8561	5.2%
8	8528	5.2%
9	8510	5.2%
10	8450	5.1%
Other values (10)	78566	47.7%

Value	Count	Frequency (%)
1	8837	5.4%
2	8763	5.3%
3	8672	5.3%
4	8644	5.2%
5	8612	5.2%
6	8607	5.2%
7	8561	5.2%
8	8528	5.2%
9	8510	5.2%
10	8450	5.1%

Value	Count	Frequency (%)
20	6186	3.8%
19	7197	4.4%
18	7692	4.7%
17	7941	4.8%
16	8040	4.9%
15	8170	5.0%
14	8245	5.0%
13	8339	5.1%
12	8365	5.1%
11	8391	5.1%

ball
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6162428

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	6
Maximum	9
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.8073977
Coefficient of variation (CV)	0.49979988
Kurtosis	-1.082362
Mean	3.6162428
Median Absolute Deviation (MAD)	2
Skewness	0.096476015
Sum	595776
Variance	3.2666865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	26715	16.2%
2	26640	16.2%
3	26567	16.1%
4	26504	16.1%
5	26419	16.0%
6	26328	16.0%
7	4728	2.9%
8	736	0.4%
9	113	0.1%

Value	Count	Frequency (%)
1	26715	16.2%
2	26640	16.2%
3	26567	16.1%
4	26504	16.1%
5	26419	16.0%
6	26328	16.0%
7	4728	2.9%
8	736	0.4%
9	113	0.1%

Value	Count	Frequency (%)
9	113	0.1%
8	736	0.4%
7	4728	2.9%
6	26328	16.0%
5	26419	16.0%
4	26504	16.1%
3	26567	16.1%
2	26640	16.2%
1	26715	16.2%

batsman
Text

Distinct	488
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.4 MiB

Length

Max length	20
Median length	17
Mean length	9.3613171
Min length	5

Characters and Unicode

Total characters	1542277
Distinct characters	54
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	DA Warner
2nd row	DA Warner
3rd row	DA Warner
4th row	DA Warner
5th row	DA Warner

Value	Count	Frequency (%)
v	5946	1.8%
s	5855	1.7%
singh	4602	1.4%
sr	4361	1.3%
sharma	4337	1.3%
m	4155	1.2%
da	4103	1.2%
sk	4003	1.2%
kohli	3899	1.2%
ms	3847	1.1%
Other values (665)	292189	86.6%

Most occurring characters

Value	Count	Frequency (%)
	172547	11.2%
a	170861	11.1%
i	75973	4.9%
h	70938	4.6%
n	70667	4.6%
r	66596	4.3%
e	62357	4.0%
S	61520	4.0%
l	57816	3.7%
M	40717	2.6%
Other values (44)	692285	44.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	897740	58.2%
Uppercase Letter	471773	30.6%
Space Separator	172547	11.2%
Dash Punctuation	217	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	170861	19.0%
i	75973	8.5%
h	70938	7.9%
n	70667	7.9%
r	66596	7.4%
e	62357	6.9%
l	57816	6.4%
s	40695	4.5%
t	33868	3.8%
o	33827	3.8%
Other values (16)	214142	23.9%

Uppercase Letter

Value	Count	Frequency (%)
S	61520	13.0%
M	40717	8.6%
R	39727	8.4%
K	38090	8.1%
A	37607	8.0%
D	32596	6.9%
P	31279	6.6%
J	23192	4.9%
G	22642	4.8%
V	21643	4.6%
Other values (16)	122760	26.0%

Space Separator

Value	Count	Frequency (%)
	172547	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	217	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1369513	88.8%
Common	172764	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	170861	12.5%
i	75973	5.5%
h	70938	5.2%
n	70667	5.2%
r	66596	4.9%
e	62357	4.6%
S	61520	4.5%
l	57816	4.2%
M	40717	3.0%
s	40695	3.0%
Other values (42)	651373	47.6%

Common

Value	Count	Frequency (%)
	172547	99.9%
-	217	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1542277	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	172547	11.2%
a	170861	11.1%
i	75973	4.9%
h	70938	4.6%
n	70667	4.6%
r	66596	4.3%
e	62357	4.0%
S	61520	4.0%
l	57816	3.7%
M	40717	2.6%
Other values (44)	692285	44.9%

non_striker
Text

Distinct	484
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.4 MiB

Length

Max length	20
Median length	17
Mean length	9.3623247
Min length	5

Characters and Unicode

Total characters	1542443
Distinct characters	54
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	S Dhawan
2nd row	S Dhawan
3rd row	S Dhawan
4th row	S Dhawan
5th row	S Dhawan

Value	Count	Frequency (%)
s	6049	1.8%
v	5910	1.8%
sr	4596	1.4%
sharma	4462	1.3%
singh	4309	1.3%
m	4306	1.3%
sk	4082	1.2%
am	3867	1.1%
da	3863	1.1%
raina	3832	1.1%
Other values (664)	292034	86.6%

Most occurring characters

Value	Count	Frequency (%)
	172560	11.2%
a	171933	11.1%
i	75692	4.9%
n	70689	4.6%
h	70495	4.6%
r	66608	4.3%
e	63304	4.1%
S	61426	4.0%
l	57286	3.7%
M	41467	2.7%
Other values (44)	690983	44.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	897911	58.2%
Uppercase Letter	471731	30.6%
Space Separator	172560	11.2%
Dash Punctuation	241	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	171933	19.1%
i	75692	8.4%
n	70689	7.9%
h	70495	7.9%
r	66608	7.4%
e	63304	7.1%
l	57286	6.4%
s	40625	4.5%
t	33171	3.7%
u	32669	3.6%
Other values (16)	215439	24.0%

Uppercase Letter

Value	Count	Frequency (%)
S	61426	13.0%
M	41467	8.8%
R	39814	8.4%
K	37862	8.0%
A	37524	8.0%
D	31938	6.8%
P	30929	6.6%
J	23216	4.9%
G	22915	4.9%
V	21780	4.6%
Other values (16)	122860	26.0%

Space Separator

Value	Count	Frequency (%)
	172560	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	241	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1369642	88.8%
Common	172801	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	171933	12.6%
i	75692	5.5%
n	70689	5.2%
h	70495	5.1%
r	66608	4.9%
e	63304	4.6%
S	61426	4.5%
l	57286	4.2%
M	41467	3.0%
s	40625	3.0%
Other values (42)	650117	47.5%

Common

Value	Count	Frequency (%)
	172560	99.9%
-	241	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1542443	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	172560	11.2%
a	171933	11.1%
i	75692	4.9%
n	70689	4.6%
h	70495	4.6%
r	66608	4.3%
e	63304	4.1%
S	61426	4.0%
l	57286	3.7%
M	41467	2.7%
Other values (44)	690983	44.8%

bowler
Text

Distinct	378
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.4 MiB

Length

Max length	17
Median length	16
Mean length	9.4861791
Min length	5

Characters and Unicode

Total characters	1562848
Distinct characters	55
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	TS Mills
2nd row	TS Mills
3rd row	TS Mills
4th row	TS Mills
5th row	TS Mills

Value	Count	Frequency (%)
r	9190	2.7%
singh	8897	2.7%
sharma	8589	2.6%
a	8208	2.4%
kumar	7194	2.1%
m	5737	1.7%
s	5581	1.7%
pp	4835	1.4%
p	4762	1.4%
b	3833	1.1%
Other values (536)	268894	80.1%

Most occurring characters

Value	Count	Frequency (%)
a	198576	12.7%
	170970	10.9%
n	84496	5.4%
r	81929	5.2%
h	77969	5.0%
i	68316	4.4%
e	66983	4.3%
S	61230	3.9%
l	51359	3.3%
M	43044	2.8%
Other values (45)	657976	42.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	950111	60.8%
Uppercase Letter	441106	28.2%
Space Separator	170970	10.9%
Dash Punctuation	586	< 0.1%
Open Punctuation	25	< 0.1%
Decimal Number	25	< 0.1%
Close Punctuation	25	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	198576	20.9%
n	84496	8.9%
r	81929	8.6%
h	77969	8.2%
i	68316	7.2%
e	66983	7.1%
l	51359	5.4%
t	37421	3.9%
o	36864	3.9%
m	34504	3.6%
Other values (16)	211694	22.3%

Uppercase Letter

Value	Count	Frequency (%)
S	61230	13.9%
M	43044	9.8%
A	38852	8.8%
P	38478	8.7%
K	32410	7.3%
R	30769	7.0%
J	28747	6.5%
B	23660	5.4%
D	20653	4.7%
C	17312	3.9%
Other values (14)	105951	24.0%

Space Separator

Value	Count	Frequency (%)
	170970	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	586	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	25	100.0%

Decimal Number

Value	Count	Frequency (%)
2	25	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1391217	89.0%
Common	171631	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	198576	14.3%
n	84496	6.1%
r	81929	5.9%
h	77969	5.6%
i	68316	4.9%
e	66983	4.8%
S	61230	4.4%
l	51359	3.7%
M	43044	3.1%
A	38852	2.8%
Other values (40)	618463	44.5%

Common

Value	Count	Frequency (%)
	170970	99.6%
-	586	0.3%
(	25	< 0.1%
2	25	< 0.1%
)	25	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1562848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	198576	12.7%
	170970	10.9%
n	84496	5.4%
r	81929	5.2%
h	77969	5.0%
i	68316	4.4%
e	66983	4.3%
S	61230	3.9%
l	51359	3.3%
M	43044	2.8%
Other values (45)	657976	42.1%

is_super_over
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 MiB

0	164669
1	81

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	164750
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	164669	> 99.9%
1	81	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	164669	> 99.9%
1	81	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	164669	> 99.9%
1	81	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164750	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	164669	> 99.9%
1	81	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	164750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	164669	> 99.9%
1	81	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	164669	> 99.9%
1	81	< 0.1%

wide_runs
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.037183612

Minimum	0
Maximum	5
Zeros	159739
Zeros (%)	97.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.25408681
Coefficient of variation (CV)	6.833301
Kurtosis	190.26192
Mean	0.037183612
Median Absolute Deviation (MAD)	0
Skewness	11.653352
Sum	6126
Variance	0.064560108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	159739	97.0%
1	4546	2.8%
2	219	0.1%
5	200	0.1%
3	42	< 0.1%
4	4	< 0.1%

Value	Count	Frequency (%)
0	159739	97.0%
1	4546	2.8%
2	219	0.1%
3	42	< 0.1%
4	4	< 0.1%
5	200	0.1%

Value	Count	Frequency (%)
5	200	0.1%
4	4	< 0.1%
3	42	< 0.1%
2	219	0.1%
1	4546	2.8%
0	159739	97.0%

bye_runs
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 MiB

0	164302
1	309
4	109
2	28
3	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	164750
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	164302	99.7%
1	309	0.2%
4	109	0.1%
2	28	< 0.1%
3	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	164302	99.7%
1	309	0.2%
4	109	0.1%
2	28	< 0.1%
3	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	164302	99.7%
1	309	0.2%
4	109	0.1%
2	28	< 0.1%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164750	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	164302	99.7%
1	309	0.2%
4	109	0.1%
2	28	< 0.1%
3	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	164750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	164302	99.7%
1	309	0.2%
4	109	0.1%
2	28	< 0.1%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	164302	99.7%
1	309	0.2%
4	109	0.1%
2	28	< 0.1%
3	2	< 0.1%

legbye_runs
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0215478

Minimum	0
Maximum	5
Zeros	161989
Zeros (%)	98.3%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.19641002
Coefficient of variation (CV)	9.1150849
Kurtosis	237.68377
Mean	0.0215478
Median Absolute Deviation (MAD)	0
Skewness	13.631276
Sum	3550
Variance	0.038576898
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	161989	98.3%
1	2408	1.5%
4	204	0.1%
2	129	0.1%
3	16	< 0.1%
5	4	< 0.1%

Value	Count	Frequency (%)
0	161989	98.3%
1	2408	1.5%
2	129	0.1%
3	16	< 0.1%
4	204	0.1%
5	4	< 0.1%

Value	Count	Frequency (%)
5	4	< 0.1%
4	204	0.1%
3	16	< 0.1%
2	129	0.1%
1	2408	1.5%
0	161989	98.3%

noball_runs
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 MiB

0	164093
1	641
2	9
5	6
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	164750
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	164093	99.6%
1	641	0.4%
2	9	< 0.1%
5	6	< 0.1%
3	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	164093	99.6%
1	641	0.4%
2	9	< 0.1%
5	6	< 0.1%
3	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	164093	99.6%
1	641	0.4%
2	9	< 0.1%
5	6	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164750	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	164093	99.6%
1	641	0.4%
2	9	< 0.1%
5	6	< 0.1%
3	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	164750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	164093	99.6%
1	641	0.4%
2	9	< 0.1%
5	6	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	164093	99.6%
1	641	0.4%
2	9	< 0.1%
5	6	< 0.1%
3	1	< 0.1%

penalty_runs
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 MiB

0	164748
5	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	164750
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	164748	> 99.9%
5	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	164748	> 99.9%
5	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	164748	> 99.9%
5	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164750	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	164748	> 99.9%
5	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	164750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	164748	> 99.9%
5	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	164748	> 99.9%
5	2	< 0.1%

batsman_runs
Real number (ℝ)

High correlation Zeros

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2372382

Minimum	0
Maximum	7
Zeros	65904
Zeros (%)	40.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	4
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.6035112
Coefficient of variation (CV)	1.2960407
Kurtosis	1.6571485
Mean	1.2372382
Median Absolute Deviation (MAD)	1
Skewness	1.5884311
Sum	203835
Variance	2.571248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	65904	40.0%
1	61580	37.4%
4	18707	11.4%
2	10560	6.4%
6	7392	4.5%
3	543	0.3%
5	61	< 0.1%
7	3	< 0.1%

Value	Count	Frequency (%)
0	65904	40.0%
1	61580	37.4%
2	10560	6.4%
3	543	0.3%
4	18707	11.4%
5	61	< 0.1%
6	7392	4.5%
7	3	< 0.1%

Value	Count	Frequency (%)
7	3	< 0.1%
6	7392	4.5%
5	61	< 0.1%
4	18707	11.4%
3	543	0.3%
2	10560	6.4%
1	61580	37.4%
0	65904	40.0%

extra_runs
Real number (ℝ)

High correlation Zeros

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.067890744

Minimum	0
Maximum	7
Zeros	155872
Zeros (%)	94.6%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.34514417
Coefficient of variation (CV)	5.0838178
Kurtosis	90.582081
Mean	0.067890744
Median Absolute Deviation (MAD)	0
Skewness	8.2054299
Sum	11185
Variance	0.1191245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	155872	94.6%
1	7904	4.8%
2	384	0.2%
4	317	0.2%
5	211	0.1%
3	61	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
0	155872	94.6%
1	7904	4.8%
2	384	0.2%
3	61	< 0.1%
4	317	0.2%
5	211	0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
5	211	0.1%
4	317	0.2%
3	61	< 0.1%
2	384	0.2%
1	7904	4.8%
0	155872	94.6%

total_runs
Real number (ℝ)

High correlation Zeros

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.305129

Minimum	0
Maximum	10
Zeros	58061
Zeros (%)	35.2%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	4
Maximum	10
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.5962546
Coefficient of variation (CV)	1.2230627
Kurtosis	1.626415
Mean	1.305129
Median Absolute Deviation (MAD)	1
Skewness	1.558686
Sum	215020
Variance	2.5480286
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	67672	41.1%
0	58061	35.2%
4	18914	11.5%
2	11696	7.1%
6	7360	4.5%
3	643	0.4%
5	333	0.2%
7	38	< 0.1%
8	25	< 0.1%
10	8	< 0.1%

Value	Count	Frequency (%)
0	58061	35.2%
1	67672	41.1%
2	11696	7.1%
3	643	0.4%
4	18914	11.5%
5	333	0.2%
6	7360	4.5%
7	38	< 0.1%
8	25	< 0.1%
10	8	< 0.1%

Value	Count	Frequency (%)
10	8	< 0.1%
8	25	< 0.1%
7	38	< 0.1%
6	7360	4.5%
5	333	0.2%
4	18914	11.5%
3	643	0.4%
2	11696	7.1%
1	67672	41.1%
0	58061	35.2%

player_dismissed
Text

Missing

Distinct	464
Distinct (%)	5.7%
Missing	156593
Missing (%)	95.0%
Memory size	5.3 MiB

Length

Max length	20
Median length	17
Mean length	9.3964693
Min length	5

Characters and Unicode

Total characters	76647
Distinct characters	54
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	78 ?
Unique (%)	1.0%

Sample

1st row	DA Warner
2nd row	S Dhawan
3rd row	MC Henriques
4th row	Yuvraj Singh
5th row	Mandeep Singh

Value	Count	Frequency (%)
singh	301	1.8%
s	264	1.6%
v	235	1.4%
r	231	1.4%
m	226	1.4%
sharma	221	1.3%
sk	173	1.0%
sr	168	1.0%
patel	168	1.0%
pathan	165	1.0%
Other values (636)	14546	87.1%

Most occurring characters

Value	Count	Frequency (%)
a	8717	11.4%
	8541	11.1%
i	3693	4.8%
h	3628	4.7%
n	3523	4.6%
r	3376	4.4%
e	3099	4.0%
S	2996	3.9%
l	2741	3.6%
M	2023	2.6%
Other values (44)	34310	44.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44914	58.6%
Uppercase Letter	23170	30.2%
Space Separator	8541	11.1%
Dash Punctuation	22	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	8717	19.4%
i	3693	8.2%
h	3628	8.1%
n	3523	7.8%
r	3376	7.5%
e	3099	6.9%
l	2741	6.1%
s	1911	4.3%
t	1758	3.9%
o	1696	3.8%
Other values (16)	10772	24.0%

Uppercase Letter

Value	Count	Frequency (%)
S	2996	12.9%
M	2023	8.7%
A	1936	8.4%
R	1925	8.3%
K	1787	7.7%
P	1643	7.1%
D	1464	6.3%
J	1198	5.2%
V	1021	4.4%
G	1020	4.4%
Other values (16)	6157	26.6%

Space Separator

Value	Count	Frequency (%)
	8541	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	68084	88.8%
Common	8563	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	8717	12.8%
i	3693	5.4%
h	3628	5.3%
n	3523	5.2%
r	3376	5.0%
e	3099	4.6%
S	2996	4.4%
l	2741	4.0%
M	2023	3.0%
A	1936	2.8%
Other values (42)	32352	47.5%

Common

Value	Count	Frequency (%)
	8541	99.7%
-	22	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76647	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	8717	11.4%
	8541	11.1%
i	3693	4.8%
h	3628	4.7%
n	3523	4.6%
r	3376	4.4%
e	3099	4.0%
S	2996	3.9%
l	2741	3.6%
M	2023	2.6%
Other values (44)	34310	44.8%

dismissal_kind
Categorical

High correlation Missing

Distinct	9
Distinct (%)	0.1%
Missing	156593
Missing (%)	95.0%
Memory size	10.0 MiB

caught	4861
bowled	1495
run out	813
lbw	494
stumped	262
Other values (4)	232

Length

Max length	21
Median length	6
Mean length	6.2489886
Min length	3

Characters and Unicode

Total characters	50973
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	caught
2nd row	caught
3rd row	caught
4th row	bowled
5th row	bowled

Common Values

Value	Count	Frequency (%)
caught	4861	3.0%
bowled	1495	0.9%
run out	813	0.5%
lbw	494	0.3%
stumped	262	0.2%
caught and bowled	211	0.1%
retired hurt	11	< 0.1%
hit wicket	9	< 0.1%
obstructing the field	1	< 0.1%
(Missing)	156593	95.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
caught	5072	53.9%
bowled	1706	18.1%
run	813	8.6%
out	813	8.6%
lbw	494	5.2%
stumped	262	2.8%
and	211	2.2%
retired	11	0.1%
hurt	11	0.1%
hit	9	0.1%
Other values (4)	12	0.1%

Most occurring characters

Value	Count	Frequency (%)
u	6972	13.7%
t	6190	12.1%
a	5283	10.4%
h	5093	10.0%
c	5082	10.0%
g	5073	10.0%
o	2520	4.9%
w	2209	4.3%
b	2201	4.3%
l	2201	4.3%
Other values (11)	8149	16.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	49716	97.5%
Space Separator	1257	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	6972	14.0%
t	6190	12.5%
a	5283	10.6%
h	5093	10.2%
c	5082	10.2%
g	5073	10.2%
o	2520	5.1%
w	2209	4.4%
b	2201	4.4%
l	2201	4.4%
Other values (10)	6892	13.9%

Space Separator

Value	Count	Frequency (%)
	1257	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49716	97.5%
Common	1257	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	6972	14.0%
t	6190	12.5%
a	5283	10.6%
h	5093	10.2%
c	5082	10.2%
g	5073	10.2%
o	2520	5.1%
w	2209	4.4%
b	2201	4.4%
l	2201	4.4%
Other values (10)	6892	13.9%

Common

Value	Count	Frequency (%)
	1257	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	6972	13.7%
t	6190	12.1%
a	5283	10.4%
h	5093	10.0%
c	5082	10.0%
g	5073	10.0%
o	2520	4.9%
w	2209	4.3%
b	2201	4.3%
l	2201	4.3%
Other values (11)	8149	16.0%

fielder
Text

Missing

Distinct	476
Distinct (%)	8.0%
Missing	158832
Missing (%)	96.4%
Memory size	5.2 MiB

Length

Max length	21
Median length	19
Mean length	9.4979723
Min length	5

Characters and Unicode

Total characters	56209
Distinct characters	55
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	1.4%

Sample

1st row	Mandeep Singh
2nd row	Sachin Baby
3rd row	Sachin Baby
4th row	DA Warner
5th row	BCJ Cutting

Value	Count	Frequency (%)
singh	191	1.6%
m	184	1.5%
r	181	1.5%
sharma	180	1.5%
ms	177	1.4%
karthik	159	1.3%
s	159	1.3%
patel	145	1.2%
kd	145	1.2%
de	143	1.2%
Other values (599)	10560	86.4%

Most occurring characters

Value	Count	Frequency (%)
a	6428	11.4%
	6306	11.2%
i	2827	5.0%
h	2760	4.9%
n	2511	4.5%
r	2478	4.4%
e	2218	3.9%
S	2151	3.8%
l	1990	3.5%
K	1474	2.6%
Other values (45)	25066	44.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32983	58.7%
Uppercase Letter	16757	29.8%
Space Separator	6306	11.2%
Open Punctuation	76	0.1%
Close Punctuation	76	0.1%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6428	19.5%
i	2827	8.6%
h	2760	8.4%
n	2511	7.6%
r	2478	7.5%
e	2218	6.7%
l	1990	6.0%
t	1417	4.3%
s	1394	4.2%
o	1265	3.8%
Other values (16)	7695	23.3%

Uppercase Letter

Value	Count	Frequency (%)
S	2151	12.8%
K	1474	8.8%
M	1471	8.8%
A	1400	8.4%
R	1319	7.9%
P	1229	7.3%
D	1158	6.9%
J	848	5.1%
B	801	4.8%
V	749	4.5%
Other values (15)	4157	24.8%

Space Separator

Value	Count	Frequency (%)
	6306	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	76	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	76	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49740	88.5%
Common	6469	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6428	12.9%
i	2827	5.7%
h	2760	5.5%
n	2511	5.0%
r	2478	5.0%
e	2218	4.5%
S	2151	4.3%
l	1990	4.0%
K	1474	3.0%
M	1471	3.0%
Other values (41)	23432	47.1%

Common

Value	Count	Frequency (%)
	6306	97.5%
(	76	1.2%
)	76	1.2%
-	11	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56209	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6428	11.4%
	6306	11.2%
i	2827	5.0%
h	2760	4.9%
n	2511	4.5%
r	2478	4.4%
e	2218	3.9%
S	2151	3.8%
l	1990	3.5%
K	1474	2.6%
Other values (45)	25066	44.6%

id
Real number (ℝ)

High correlation

Distinct	696
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	977.95176

Minimum	1
Maximum	7953
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	1
5-th percentile	35
Q1	175
median	349
Q3	521
95-th percentile	7919
Maximum	7953
Range	7952
Interquartile range (IQR)	346

Descriptive statistics

Standard deviation	2147.6718
Coefficient of variation (CV)	2.1960918
Kurtosis	6.501191
Mean	977.95176
Median Absolute Deviation (MAD)	173
Skewness	2.901471
Sum	1.6111755 × 10⁸
Variance	4612494.3
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126	267	0.2%
34	263	0.2%
476	262	0.2%
534	262	0.2%
388	261	0.2%
190	259	0.2%
570	259	0.2%
536	258	0.2%
401	258	0.2%
257	257	0.2%
Other values (686)	162144	98.4%

Value	Count	Frequency (%)
1	248	0.2%
2	247	0.1%
3	218	0.1%
4	247	0.1%
5	248	0.2%
6	216	0.1%
7	254	0.2%
8	212	0.1%
9	226	0.1%
10	239	0.1%

Value	Count	Frequency (%)
7953	241	0.1%
7952	245	0.1%
7951	247	0.1%
7950	247	0.1%
7949	247	0.1%
7948	247	0.1%
7947	249	0.2%
7946	245	0.1%
7945	246	0.1%
7944	245	0.1%

season
Real number (ℝ)

High correlation

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.9614

Minimum	2008
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	2008
5-th percentile	2008
Q1	2010
median	2013
Q3	2016
95-th percentile	2018
Maximum	2018
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.0631189
Coefficient of variation (CV)	0.0015216978
Kurtosis	-1.1206017
Mean	2012.9614
Median Absolute Deviation (MAD)	3
Skewness	0.053749855
Sum	3.3163538 × 10⁸
Variance	9.3826974
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2013	18177	11.0%
2012	17767	10.8%
2011	17013	10.3%
2010	14498	8.8%
2014	14300	8.7%
2018	14290	8.7%
2016	14096	8.6%
2017	13862	8.4%
2015	13652	8.3%
2009	13606	8.3%

Value	Count	Frequency (%)
2008	13489	8.2%
2009	13606	8.3%
2010	14498	8.8%
2011	17013	10.3%
2012	17767	10.8%
2013	18177	11.0%
2014	14300	8.7%
2015	13652	8.3%
2016	14096	8.6%
2017	13862	8.4%

Value	Count	Frequency (%)
2018	14290	8.7%
2017	13862	8.4%
2016	14096	8.6%
2015	13652	8.3%
2014	14300	8.7%
2013	18177	11.0%
2012	17767	10.8%
2011	17013	10.3%
2010	14498	8.8%
2009	13606	8.3%

city
Categorical

High correlation Missing

Distinct	32
Distinct (%)	< 0.1%
Missing	1700
Missing (%)	1.0%
Memory size	10.1 MiB

Mumbai	22591
Kolkata	16268
Delhi	15604
Bangalore	15155
Hyderabad	13303
Other values (27)	80129

Length

Max length	14
Median length	13
Mean length	7.3328979
Min length	4

Characters and Unicode

Total characters	1195629
Distinct characters	41
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hyderabad
2nd row	Hyderabad
3rd row	Hyderabad
4th row	Hyderabad
5th row	Hyderabad

Common Values

Value	Count	Frequency (%)
Mumbai	22591	13.7%
Kolkata	16268	9.9%
Delhi	15604	9.5%
Bangalore	15155	9.2%
Hyderabad	13303	8.1%
Chennai	12006	7.3%
Chandigarh	10840	6.6%
Jaipur	9478	5.8%
Pune	9119	5.5%
Durban	3643	2.2%
Other values (22)	35043	21.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mumbai	22591	13.4%
kolkata	16268	9.6%
delhi	15604	9.3%
bangalore	15155	9.0%
hyderabad	13303	7.9%
chennai	12006	7.1%
chandigarh	10840	6.4%
jaipur	9478	5.6%
pune	9119	5.4%
durban	3643	2.2%
Other values (26)	40598	24.1%

Most occurring characters

Value	Count	Frequency (%)
a	205128	17.2%
i	85456	7.1%
n	85170	7.1%
e	82236	6.9%
r	70002	5.9%
h	68574	5.7%
u	59484	5.0%
l	54547	4.6%
b	50021	4.2%
o	48117	4.0%
Other values (31)	386894	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1021469	85.4%
Uppercase Letter	168605	14.1%
Space Separator	5555	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	205128	20.1%
i	85456	8.4%
n	85170	8.3%
e	82236	8.1%
r	70002	6.9%
h	68574	6.7%
u	59484	5.8%
l	54547	5.3%
b	50021	4.9%
o	48117	4.7%
Other values (13)	212734	20.8%

Uppercase Letter

Value	Count	Frequency (%)
C	28946	17.2%
M	23332	13.8%
D	23030	13.7%
K	19070	11.3%
B	17372	10.3%
H	13303	7.9%
J	11418	6.8%
P	10796	6.4%
R	5483	3.3%
A	4517	2.7%
Other values (7)	11338	6.7%

Space Separator

Value	Count	Frequency (%)
	5555	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1190074	99.5%
Common	5555	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	205128	17.2%
i	85456	7.2%
n	85170	7.2%
e	82236	6.9%
r	70002	5.9%
h	68574	5.8%
u	59484	5.0%
l	54547	4.6%
b	50021	4.2%
o	48117	4.0%
Other values (30)	381339	32.0%

Common

Value	Count	Frequency (%)
	5555	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1195629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	205128	17.2%
i	85456	7.1%
n	85170	7.1%
e	82236	6.9%
r	70002	5.9%
h	68574	5.7%
u	59484	5.0%
l	54547	4.6%
b	50021	4.2%
o	48117	4.0%
Other values (31)	386894	32.4%

date
Date

Distinct	498
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Minimum	2008-04-18 00:00:00
Maximum	2018-12-05 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

team1
Categorical

High correlation

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

Mumbai Indians	22019
Chennai Super Kings	19891
Kings XI Punjab	19754
Royal Challengers Bangalore	18014
Kolkata Knight Riders	17221
Other values (9)	67851

Length

Max length	27
Median length	22
Mean length	17.906737
Min length	13

Characters and Unicode

Total characters	2950135
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sunrisers Hyderabad
2nd row	Sunrisers Hyderabad
3rd row	Sunrisers Hyderabad
4th row	Sunrisers Hyderabad
5th row	Sunrisers Hyderabad

Common Values

Value	Count	Frequency (%)
Mumbai Indians	22019	13.4%
Chennai Super Kings	19891	12.1%
Kings XI Punjab	19754	12.0%
Royal Challengers Bangalore	18014	10.9%
Kolkata Knight Riders	17221	10.5%
Delhi Daredevils	16559	10.1%
Rajasthan Royals	14677	8.9%
Sunrisers Hyderabad	13010	7.9%
Deccan Chargers	10335	6.3%
Pune Warriors	4759	2.9%
Other values (4)	8511	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	39645	9.7%
mumbai	22019	5.4%
indians	22019	5.4%
chennai	19891	4.9%
super	19891	4.9%
xi	19754	4.8%
punjab	19754	4.8%
royal	18014	4.4%
challengers	18014	4.4%
bangalore	18014	4.4%
Other values (21)	192567	47.0%

Most occurring characters

Value	Count	Frequency (%)
a	330367	11.2%
n	253214	8.6%
	244832	8.3%
e	222575	7.5%
i	204518	6.9%
s	195679	6.6%
r	173837	5.9%
l	138722	4.7%
g	110333	3.7%
h	98347	3.3%
Other values (27)	977711	33.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2275967	77.1%
Uppercase Letter	429336	14.6%
Space Separator	244832	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	330367	14.5%
n	253214	11.1%
e	222575	9.8%
i	204518	9.0%
s	195679	8.6%
r	173837	7.6%
l	138722	6.1%
g	110333	4.8%
h	98347	4.3%
u	91496	4.0%
Other values (11)	456879	20.1%

Uppercase Letter

Value	Count	Frequency (%)
K	77387	18.0%
R	68141	15.9%
C	48240	11.2%
D	43453	10.1%
I	41773	9.7%
S	36453	8.5%
P	28065	6.5%
M	22019	5.1%
X	19754	4.6%
B	18014	4.2%
Other values (5)	26037	6.1%

Space Separator

Value	Count	Frequency (%)
	244832	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2705303	91.7%
Common	244832	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	330367	12.2%
n	253214	9.4%
e	222575	8.2%
i	204518	7.6%
s	195679	7.2%
r	173837	6.4%
l	138722	5.1%
g	110333	4.1%
h	98347	3.6%
u	91496	3.4%
Other values (26)	886215	32.8%

Common

Value	Count	Frequency (%)
	244832	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2950135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	330367	11.2%
n	253214	8.6%
	244832	8.3%
e	222575	7.5%
i	204518	6.9%
s	195679	6.6%
r	173837	5.9%
l	138722	4.7%
g	110333	3.7%
h	98347	3.3%
Other values (27)	977711	33.1%

team2
Categorical

High correlation

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

Kolkata Knight Riders	21224
Delhi Daredevils	20952
Royal Challengers Bangalore	20913
Mumbai Indians	19227
Kings XI Punjab	18512
Other values (9)	63922

Length

Max length	27
Median length	22
Mean length	18.084832
Min length	13

Characters and Unicode

Total characters	2979476
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Royal Challengers Bangalore
2nd row	Royal Challengers Bangalore
3rd row	Royal Challengers Bangalore
4th row	Royal Challengers Bangalore
5th row	Royal Challengers Bangalore

Common Values

Value	Count	Frequency (%)
Kolkata Knight Riders	21224	12.9%
Delhi Daredevils	20952	12.7%
Royal Challengers Bangalore	20913	12.7%
Mumbai Indians	19227	11.7%
Kings XI Punjab	18512	11.2%
Rajasthan Royals	16813	10.2%
Chennai Super Kings	15353	9.3%
Sunrisers Hyderabad	9058	5.5%
Deccan Chargers	7738	4.7%
Pune Warriors	6141	3.7%
Other values (4)	8819	5.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	33865	8.2%
kolkata	21224	5.2%
riders	21224	5.2%
knight	21224	5.2%
delhi	20952	5.1%
daredevils	20952	5.1%
royal	20913	5.1%
challengers	20913	5.1%
bangalore	20913	5.1%
mumbai	19227	4.7%
Other values (21)	189112	46.1%

Most occurring characters

Value	Count	Frequency (%)
a	340523	11.4%
	245769	8.2%
n	238552	8.0%
e	227292	7.6%
i	202984	6.8%
s	193770	6.5%
r	170793	5.7%
l	165139	5.5%
g	111595	3.7%
h	104539	3.5%
Other values (27)	978520	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2304676	77.4%
Uppercase Letter	429031	14.4%
Space Separator	245769	8.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	340523	14.8%
n	238552	10.4%
e	227292	9.9%
i	202984	8.8%
s	193770	8.4%
r	170793	7.4%
l	165139	7.2%
g	111595	4.8%
h	104539	4.5%
o	91352	4.0%
Other values (11)	458137	19.9%

Uppercase Letter

Value	Count	Frequency (%)
K	79405	18.5%
R	79234	18.5%
D	49642	11.6%
C	44004	10.3%
I	37739	8.8%
P	28124	6.6%
S	27882	6.5%
B	20913	4.9%
M	19227	4.5%
X	18512	4.3%
Other values (5)	24349	5.7%

Space Separator

Value	Count	Frequency (%)
	245769	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2733707	91.8%
Common	245769	8.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	340523	12.5%
n	238552	8.7%
e	227292	8.3%
i	202984	7.4%
s	193770	7.1%
r	170793	6.2%
l	165139	6.0%
g	111595	4.1%
h	104539	3.8%
o	91352	3.3%
Other values (26)	887168	32.5%

Common

Value	Count	Frequency (%)
	245769	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2979476	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	340523	11.4%
	245769	8.2%
n	238552	8.0%
e	227292	7.6%
i	202984	6.8%
s	193770	6.5%
r	170793	5.7%
l	165139	5.5%
g	111595	3.7%
h	104539	3.5%
Other values (27)	978520	32.8%

toss_winner
Categorical

High correlation

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

Mumbai Indians	21577
Kolkata Knight Riders	20563
Delhi Daredevils	18548
Chennai Super Kings	18457
Royal Challengers Bangalore	18019
Other values (9)	67586

Length

Max length	27
Median length	22
Mean length	17.913627
Min length	13

Characters and Unicode

Total characters	2951270
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Royal Challengers Bangalore
2nd row	Royal Challengers Bangalore
3rd row	Royal Challengers Bangalore
4th row	Royal Challengers Bangalore
5th row	Royal Challengers Bangalore

Common Values

Value	Count	Frequency (%)
Mumbai Indians	21577	13.1%
Kolkata Knight Riders	20563	12.5%
Delhi Daredevils	18548	11.3%
Chennai Super Kings	18457	11.2%
Royal Challengers Bangalore	18019	10.9%
Kings XI Punjab	17873	10.8%
Rajasthan Royals	16438	10.0%
Deccan Chargers	10376	6.3%
Sunrisers Hyderabad	9881	6.0%
Pune Warriors	4798	2.9%
Other values (4)	8220	5.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	36330	8.9%
mumbai	21577	5.3%
indians	21577	5.3%
kolkata	20563	5.0%
knight	20563	5.0%
riders	20563	5.0%
delhi	18548	4.5%
daredevils	18548	4.5%
chennai	18457	4.5%
super	18457	4.5%
Other values (21)	193863	47.4%

Most occurring characters

Value	Count	Frequency (%)
a	335864	11.4%
n	244573	8.3%
	244296	8.3%
e	221758	7.5%
i	204810	6.9%
s	194332	6.6%
r	168375	5.7%
l	147933	5.0%
g	109055	3.7%
h	104161	3.5%
Other values (27)	976113	33.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2280055	77.3%
Uppercase Letter	426919	14.5%
Space Separator	244296	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	335864	14.7%
n	244573	10.7%
e	221758	9.7%
i	204810	9.0%
s	194332	8.5%
r	168375	7.4%
l	147933	6.5%
g	109055	4.8%
h	104161	4.6%
u	83680	3.7%
Other values (11)	465514	20.4%

Uppercase Letter

Value	Count	Frequency (%)
K	80976	19.0%
R	74332	17.4%
D	47472	11.1%
C	46852	11.0%
I	39450	9.2%
S	31212	7.3%
P	25545	6.0%
M	21577	5.1%
B	18019	4.2%
X	17873	4.2%
Other values (5)	23611	5.5%

Space Separator

Value	Count	Frequency (%)
	244296	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2706974	91.7%
Common	244296	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	335864	12.4%
n	244573	9.0%
e	221758	8.2%
i	204810	7.6%
s	194332	7.2%
r	168375	6.2%
l	147933	5.5%
g	109055	4.0%
h	104161	3.8%
u	83680	3.1%
Other values (26)	892433	33.0%

Common

Value	Count	Frequency (%)
	244296	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2951270	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	335864	11.4%
n	244573	8.3%
	244296	8.3%
e	221758	7.5%
i	204810	6.9%
s	194332	6.6%
r	168375	5.7%
l	147933	5.0%
g	109055	3.7%
h	104161	3.5%
Other values (27)	976113	33.1%

toss_decision
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.6 MiB

field	97308
bat	67442

Length

Max length	5
Median length	5
Mean length	4.1812807
Min length	3

Characters and Unicode

Total characters	688866
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	field
2nd row	field
3rd row	field
4th row	field
5th row	field

Common Values

Value	Count	Frequency (%)
field	97308	59.1%
bat	67442	40.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
field	97308	59.1%
bat	67442	40.9%

Most occurring characters

Value	Count	Frequency (%)
f	97308	14.1%
i	97308	14.1%
e	97308	14.1%
l	97308	14.1%
d	97308	14.1%
b	67442	9.8%
a	67442	9.8%
t	67442	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	688866	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	97308	14.1%
i	97308	14.1%
e	97308	14.1%
l	97308	14.1%
d	97308	14.1%
b	67442	9.8%
a	67442	9.8%
t	67442	9.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	688866	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	97308	14.1%
i	97308	14.1%
e	97308	14.1%
l	97308	14.1%
d	97308	14.1%
b	67442	9.8%
a	67442	9.8%
t	67442	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	688866	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	97308	14.1%
i	97308	14.1%
e	97308	14.1%
l	97308	14.1%
d	97308	14.1%
b	67442	9.8%
a	67442	9.8%
t	67442	9.8%

result
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

normal	162601
tie	1828
no result	321

Length

Max length	9
Median length	6
Mean length	5.9725584
Min length	3

Characters and Unicode

Total characters	983979
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	normal
4th row	normal
5th row	normal

Common Values

Value	Count	Frequency (%)
normal	162601	98.7%
tie	1828	1.1%
no result	321	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
normal	162601	98.5%
tie	1828	1.1%
no	321	0.2%
result	321	0.2%

Most occurring characters

Value	Count	Frequency (%)
n	162922	16.6%
o	162922	16.6%
r	162922	16.6%
l	162922	16.6%
m	162601	16.5%
a	162601	16.5%
t	2149	0.2%
e	2149	0.2%
i	1828	0.2%
	321	< 0.1%
Other values (2)	642	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	983658	> 99.9%
Space Separator	321	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	162922	16.6%
o	162922	16.6%
r	162922	16.6%
l	162922	16.6%
m	162601	16.5%
a	162601	16.5%
t	2149	0.2%
e	2149	0.2%
i	1828	0.2%
s	321	< 0.1%

Space Separator

Value	Count	Frequency (%)
	321	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	983658	> 99.9%
Common	321	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	162922	16.6%
o	162922	16.6%
r	162922	16.6%
l	162922	16.6%
m	162601	16.5%
a	162601	16.5%
t	2149	0.2%
e	2149	0.2%
i	1828	0.2%
s	321	< 0.1%

Common

Value	Count	Frequency (%)
	321	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	983979	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	162922	16.6%
o	162922	16.6%
r	162922	16.6%
l	162922	16.6%
m	162601	16.5%
a	162601	16.5%
t	2149	0.2%
e	2149	0.2%
i	1828	0.2%
	321	< 0.1%
Other values (2)	642	0.1%

dl_applied
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 MiB

0	161542
1	3208

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	164750
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	161542	98.1%
1	3208	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	161542	98.1%
1	3208	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	161542	98.1%
1	3208	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164750	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	161542	98.1%
1	3208	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	164750	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	161542	98.1%
1	3208	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	161542	98.1%
1	3208	1.9%

winner
Categorical

High correlation

Distinct	14
Distinct (%)	< 0.1%
Missing	321
Missing (%)	0.2%
Memory size	11.8 MiB

Mumbai Indians	23634
Chennai Super Kings	21692
Kolkata Knight Riders	20213
Royal Challengers Bangalore	18317
Kings XI Punjab	18003
Other values (9)	62570

Length

Max length	27
Median length	22
Mean length	18.079359
Min length	13

Characters and Unicode

Total characters	2972771
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sunrisers Hyderabad
2nd row	Sunrisers Hyderabad
3rd row	Sunrisers Hyderabad
4th row	Sunrisers Hyderabad
5th row	Sunrisers Hyderabad

Common Values

Value	Count	Frequency (%)
Mumbai Indians	23634	14.3%
Chennai Super Kings	21692	13.2%
Kolkata Knight Riders	20213	12.3%
Royal Challengers Bangalore	18317	11.1%
Kings XI Punjab	18003	10.9%
Rajasthan Royals	16732	10.2%
Delhi Daredevils	15709	9.5%
Sunrisers Hyderabad	12360	7.5%
Deccan Chargers	7013	4.3%
Gujarat Lions	3063	1.9%
Other values (4)	7693	4.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kings	39695	9.6%
mumbai	23634	5.7%
indians	23634	5.7%
chennai	21692	5.3%
super	21692	5.3%
kolkata	20213	4.9%
knight	20213	4.9%
riders	20213	4.9%
royal	18317	4.4%
challengers	18317	4.4%
Other values (21)	184273	44.7%

Most occurring characters

Value	Count	Frequency (%)
a	337181	11.3%
n	257712	8.7%
	247464	8.3%
e	216924	7.3%
i	210591	7.1%
s	195948	6.6%
r	163198	5.5%
l	142953	4.8%
g	110531	3.7%
h	100998	3.4%
Other values (27)	989271	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2295411	77.2%
Uppercase Letter	429896	14.5%
Space Separator	247464	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	337181	14.7%
n	257712	11.2%
e	216924	9.5%
i	210591	9.2%
s	195948	8.5%
r	163198	7.1%
l	142953	6.2%
g	110531	4.8%
h	100998	4.4%
u	89933	3.9%
Other values (11)	469442	20.5%

Uppercase Letter

Value	Count	Frequency (%)
K	82765	19.3%
R	75482	17.6%
C	47022	10.9%
I	41637	9.7%
D	38431	8.9%
S	37540	8.7%
P	24374	5.7%
M	23634	5.5%
B	18317	4.3%
X	18003	4.2%
Other values (5)	22691	5.3%

Space Separator

Value	Count	Frequency (%)
	247464	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2725307	91.7%
Common	247464	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	337181	12.4%
n	257712	9.5%
e	216924	8.0%
i	210591	7.7%
s	195948	7.2%
r	163198	6.0%
l	142953	5.2%
g	110531	4.1%
h	100998	3.7%
u	89933	3.3%
Other values (26)	899338	33.0%

Common

Value	Count	Frequency (%)
	247464	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2972771	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	337181	11.3%
n	257712	8.7%
	247464	8.3%
e	216924	7.3%
i	210591	7.1%
s	195948	6.6%
r	163198	5.5%
l	142953	4.8%
g	110531	3.7%
h	100998	3.4%
Other values (27)	989271	33.3%

win_by_runs
Real number (ℝ)

High correlation Zeros

Distinct	88
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.589663

Minimum	0
Maximum	146
Zeros	88526
Zeros (%)	53.7%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	19
95-th percentile	65
Maximum	146
Range	146
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	23.381121
Coefficient of variation (CV)	1.7205077
Kurtosis	7.4075351
Mean	13.589663
Median Absolute Deviation (MAD)	0
Skewness	2.5041707
Sum	2238897
Variance	546.67681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88526	53.7%
14	2743	1.7%
4	2669	1.6%
10	2308	1.4%
9	2246	1.4%
7	2237	1.4%
13	2226	1.4%
15	2223	1.3%
23	2201	1.3%
1	1979	1.2%
Other values (78)	55392	33.6%

Value	Count	Frequency (%)
0	88526	53.7%
1	1979	1.2%
2	1731	1.1%
3	1169	0.7%
4	2669	1.6%
5	1447	0.9%
6	1357	0.8%
7	2237	1.4%
8	1007	0.6%
9	2246	1.4%

Value	Count	Frequency (%)
146	211	0.1%
144	242	0.1%
140	225	0.1%
138	212	0.1%
130	251	0.2%
111	232	0.1%
105	223	0.1%
102	234	0.1%
98	230	0.1%
97	474	0.3%

win_by_wickets
Real number (ℝ)

High correlation Zeros

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.2541608

Minimum	0
Maximum	10
Zeros	78373
Zeros (%)	47.6%
Negative	0
Negative (%)	0.0%
Memory size	1.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	6
95-th percentile	9
Maximum	10
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.3687539
Coefficient of variation (CV)	1.0352143
Kurtosis	-1.4969611
Mean	3.2541608
Median Absolute Deviation (MAD)	3
Skewness	0.312933
Sum	536123
Variance	11.348503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	78373	47.6%
6	17902	10.9%
7	17218	10.5%
5	15269	9.3%
8	11277	6.8%
4	8936	5.4%
9	7755	4.7%
3	3958	2.4%
10	2103	1.3%
2	1222	0.7%

Value	Count	Frequency (%)
0	78373	47.6%
1	737	0.4%
2	1222	0.7%
3	3958	2.4%
4	8936	5.4%
5	15269	9.3%
6	17902	10.9%
7	17218	10.5%
8	11277	6.8%
9	7755	4.7%

Value	Count	Frequency (%)
10	2103	1.3%
9	7755	4.7%
8	11277	6.8%
7	17218	10.5%
6	17902	10.9%
5	15269	9.3%
4	8936	5.4%
3	3958	2.4%
2	1222	0.7%
1	737	0.4%

player_of_match
Text

Distinct	214
Distinct (%)	0.1%
Missing	321
Missing (%)	0.2%
Memory size	10.4 MiB

Length

Max length	17
Median length	16
Mean length	9.461567
Min length	5

Characters and Unicode

Total characters	1555756
Distinct characters	53
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yuvraj Singh
2nd row	Yuvraj Singh
3rd row	Yuvraj Singh
4th row	Yuvraj Singh
5th row	Yuvraj Singh

Value	Count	Frequency (%)
sharma	6685	2.0%
a	5923	1.8%
ch	5176	1.5%
de	5148	1.5%
sr	4989	1.5%
v	4954	1.5%
sk	4826	1.4%
ab	4806	1.4%
gayle	4697	1.4%
villiers	4417	1.3%
Other values (328)	284074	84.6%

Most occurring characters

Value	Count	Frequency (%)
a	171890	11.0%
	171266	11.0%
e	75492	4.9%
n	73668	4.7%
i	72718	4.7%
r	72126	4.6%
h	69358	4.5%
l	64960	4.2%
S	60858	3.9%
s	44596	2.9%
Other values (43)	678824	43.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	915456	58.8%
Uppercase Letter	468237	30.1%
Space Separator	171266	11.0%
Dash Punctuation	797	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	171890	18.8%
e	75492	8.2%
n	73668	8.0%
i	72718	7.9%
r	72126	7.9%
h	69358	7.6%
l	64960	7.1%
s	44596	4.9%
t	34664	3.8%
o	34341	3.8%
Other values (16)	201643	22.0%

Uppercase Letter

Value	Count	Frequency (%)
S	60858	13.0%
M	41878	8.9%
A	41527	8.9%
R	37131	7.9%
K	35618	7.6%
P	30987	6.6%
D	25955	5.5%
J	23648	5.1%
G	22996	4.9%
H	21886	4.7%
Other values (15)	125753	26.9%

Space Separator

Value	Count	Frequency (%)
	171266	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	797	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1383693	88.9%
Common	172063	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	171890	12.4%
e	75492	5.5%
n	73668	5.3%
i	72718	5.3%
r	72126	5.2%
h	69358	5.0%
l	64960	4.7%
S	60858	4.4%
s	44596	3.2%
M	41878	3.0%
Other values (41)	636149	46.0%

Common

Value	Count	Frequency (%)
	171266	99.5%
-	797	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1555756	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	171890	11.0%
	171266	11.0%
e	75492	4.9%
n	73668	4.7%
i	72718	4.7%
r	72126	4.6%
h	69358	4.5%
l	64960	4.2%
S	60858	3.9%
s	44596	2.9%
Other values (43)	678824	43.6%

venue
Categorical

High correlation

Distinct	35
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 MiB

M Chinnaswamy Stadium	16872
Eden Gardens	16268
Wankhede Stadium	15879
Feroz Shah Kotla	15604
Rajiv Gandhi International Stadium, Uppal	13303
Other values (30)	86824

Length

Max length	52
Median length	44
Mean length	24.964467
Min length	8

Characters and Unicode

Total characters	4112896
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rajiv Gandhi International Stadium, Uppal
2nd row	Rajiv Gandhi International Stadium, Uppal
3rd row	Rajiv Gandhi International Stadium, Uppal
4th row	Rajiv Gandhi International Stadium, Uppal
5th row	Rajiv Gandhi International Stadium, Uppal

Common Values

Value	Count	Frequency (%)
M Chinnaswamy Stadium	16872	10.2%
Eden Gardens	16268	9.9%
Wankhede Stadium	15879	9.6%
Feroz Shah Kotla	15604	9.5%
Rajiv Gandhi International Stadium, Uppal	13303	8.1%
MA Chidambaram Stadium, Chepauk	12006	7.3%
Sawai Mansingh Stadium	9478	5.8%
Punjab Cricket Association Stadium, Mohali	8266	5.0%
Maharashtra Cricket Association Stadium	5055	3.1%
Subrata Roy Sahara Stadium	4064	2.5%
Other values (25)	47955	29.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
stadium	116298	20.9%
cricket	29568	5.3%
association	21918	3.9%
international	18105	3.3%
m	16872	3.0%
chinnaswamy	16872	3.0%
gardens	16268	2.9%
eden	16268	2.9%
wankhede	15879	2.9%
shah	15604	2.8%
Other values (64)	272675	49.0%

Most occurring characters

Value	Count	Frequency (%)
a	539402	13.1%
	391577	9.5%
i	314856	7.7%
t	251850	6.1%
n	220397	5.4%
d	219119	5.3%
e	192866	4.7%
S	179641	4.4%
r	176693	4.3%
m	170116	4.1%
Other values (43)	1456379	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3066591	74.6%
Uppercase Letter	602342	14.6%
Space Separator	391577	9.5%
Other Punctuation	49840	1.2%
Dash Punctuation	2546	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	539402	17.6%
i	314856	10.3%
t	251850	8.2%
n	220397	7.2%
d	219119	7.1%
e	192866	6.3%
r	176693	5.8%
m	170116	5.5%
h	158810	5.2%
u	155985	5.1%
Other values (15)	666497	21.7%

Uppercase Letter

Value	Count	Frequency (%)
S	179641	29.8%
C	78886	13.1%
M	57885	9.6%
A	47226	7.8%
G	32169	5.3%
P	26805	4.5%
R	22459	3.7%
I	21420	3.6%
K	19247	3.2%
W	17819	3.0%
Other values (13)	98785	16.4%

Other Punctuation

Value	Count	Frequency (%)
,	40525	81.3%
.	7638	15.3%
'	1677	3.4%

Space Separator

Value	Count	Frequency (%)
	391577	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2546	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3668933	89.2%
Common	443963	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	539402	14.7%
i	314856	8.6%
t	251850	6.9%
n	220397	6.0%
d	219119	6.0%
e	192866	5.3%
S	179641	4.9%
r	176693	4.8%
m	170116	4.6%
h	158810	4.3%
Other values (38)	1245183	33.9%

Common

Value	Count	Frequency (%)
	391577	88.2%
,	40525	9.1%
.	7638	1.7%
-	2546	0.6%
'	1677	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4112896	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	539402	13.1%
	391577	9.5%
i	314856	7.7%
t	251850	6.1%
n	220397	5.4%
d	219119	5.3%
e	192866	4.7%
S	179641	4.4%
r	176693	4.3%
m	170116	4.1%
Other values (43)	1456379	35.4%

umpire1
Text

Distinct	55
Distinct (%)	< 0.1%
Missing	248
Missing (%)	0.2%
Memory size	10.6 MiB

Length

Max length	21
Median length	20
Mean length	10.663305
Min length	5

Characters and Unicode

Total characters	1754135
Distinct characters	46
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AY Dandekar
2nd row	AY Dandekar
3rd row	AY Dandekar
4th row	AY Dandekar
5th row	AY Dandekar

Value	Count	Frequency (%)
dharmasena	18930	5.7%
hdpk	17486	5.3%
s	16605	5.0%
asad	12010	3.6%
rauf	12010	3.6%
chaudhary	11292	3.4%
ak	10104	3.0%
ravi	9612	2.9%
erasmus	9472	2.9%
dar	9137	2.8%
Other values (85)	205186	61.8%

Most occurring characters

Value	Count	Frequency (%)
a	218580	12.5%
	167342	9.5%
e	112138	6.4%
n	109956	6.3%
r	103788	5.9%
s	72020	4.1%
D	69575	4.0%
h	68442	3.9%
d	56007	3.2%
o	55133	3.1%
Other values (36)	721154	41.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1121368	63.9%
Uppercase Letter	465425	26.5%
Space Separator	167342	9.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	218580	19.5%
e	112138	10.0%
n	109956	9.8%
r	103788	9.3%
s	72020	6.4%
h	68442	6.1%
d	56007	5.0%
o	55133	4.9%
i	46793	4.2%
m	45931	4.1%
Other values (14)	232580	20.7%

Uppercase Letter

Value	Count	Frequency (%)
D	69575	14.9%
A	52175	11.2%
K	50929	10.9%
R	42840	9.2%
B	40702	8.7%
S	30489	6.6%
H	26063	5.6%
C	24123	5.2%
P	19133	4.1%
M	18035	3.9%
Other values (11)	91361	19.6%

Space Separator

Value	Count	Frequency (%)
	167342	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1586793	90.5%
Common	167342	9.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	218580	13.8%
e	112138	7.1%
n	109956	6.9%
r	103788	6.5%
s	72020	4.5%
D	69575	4.4%
h	68442	4.3%
d	56007	3.5%
o	55133	3.5%
A	52175	3.3%
Other values (35)	668979	42.2%

Common

Value	Count	Frequency (%)
	167342	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1754135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	218580	12.5%
	167342	9.5%
e	112138	6.4%
n	109956	6.3%
r	103788	5.9%
s	72020	4.1%
D	69575	4.0%
h	68442	3.9%
d	56007	3.2%
o	55133	3.1%
Other values (36)	721154	41.1%

umpire2
Text

Distinct	58
Distinct (%)	< 0.1%
Missing	248
Missing (%)	0.2%
Memory size	10.6 MiB

Length

Max length	21
Median length	16
Mean length	10.292702
Min length	5

Characters and Unicode

Total characters	1693170
Distinct characters	49
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NJ Llong
2nd row	NJ Llong
3rd row	NJ Llong
4th row	NJ Llong
5th row	NJ Llong

Value	Count	Frequency (%)
s	17360	5.2%
ravi	13475	4.1%
sja	12981	3.9%
taufel	12981	3.9%
c	11924	3.6%
shamshuddin	11924	3.6%
nandan	9327	2.8%
tucker	8925	2.7%
rj	8779	2.6%
ck	8350	2.5%
Other values (88)	216472	65.1%

Most occurring characters

Value	Count	Frequency (%)
a	181566	10.7%
	167996	9.9%
n	105646	6.2%
r	99453	5.9%
e	89341	5.3%
i	82637	4.9%
S	72914	4.3%
h	70688	4.2%
u	56992	3.4%
d	52433	3.1%
Other values (39)	713504	42.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1058915	62.5%
Uppercase Letter	464860	27.5%
Space Separator	167996	9.9%
Other Punctuation	1399	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	181566	17.1%
n	105646	10.0%
r	99453	9.4%
e	89341	8.4%
i	82637	7.8%
h	70688	6.7%
u	56992	5.4%
d	52433	5.0%
f	42190	4.0%
s	41084	3.9%
Other values (15)	236885	22.4%

Uppercase Letter

Value	Count	Frequency (%)
S	72914	15.7%
K	48947	10.5%
A	42922	9.2%
R	42665	9.2%
J	37323	8.0%
T	36419	7.8%
C	28377	6.1%
N	23976	5.2%
B	20046	4.3%
D	19561	4.2%
Other values (12)	91710	19.7%

Space Separator

Value	Count	Frequency (%)
	167996	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1399	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1523775	90.0%
Common	169395	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	181566	11.9%
n	105646	6.9%
r	99453	6.5%
e	89341	5.9%
i	82637	5.4%
S	72914	4.8%
h	70688	4.6%
u	56992	3.7%
d	52433	3.4%
K	48947	3.2%
Other values (37)	663158	43.5%

Common

Value	Count	Frequency (%)
	167996	99.2%
.	1399	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1693170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	181566	10.7%
	167996	9.9%
n	105646	6.2%
r	99453	5.9%
e	89341	5.3%
i	82637	4.9%
S	72914	4.3%
h	70688	4.2%
u	56992	3.4%
d	52433	3.1%
Other values (39)	713504	42.1%

umpire3
Categorical

High correlation Missing

Distinct	18
Distinct (%)	0.1%
Missing	150460
Missing (%)	91.3%
Memory size	10.1 MiB

C Shamshuddin	1446
Anil Chaudhary	1224
S Ravi	1163
Nitin Menon	1125
O Nandan	1115
Other values (13)	8217

Length

Max length	21
Median length	16
Mean length	12.73443
Min length	6

Characters and Unicode

Total characters	181975
Distinct characters	41
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Anil Chaudhary
2nd row	Anil Chaudhary
3rd row	Anil Chaudhary
4th row	Anil Chaudhary
5th row	Anil Chaudhary

Common Values

Value	Count	Frequency (%)
C Shamshuddin	1446	0.9%
Anil Chaudhary	1224	0.7%
S Ravi	1163	0.7%
Nitin Menon	1125	0.7%
O Nandan	1115	0.7%
Anil Dandekar	977	0.6%
Vineet Kulkarni	969	0.6%
Yeshwant Barde	748	0.5%
Rod Tucker	730	0.4%
A Nanda Kishore	726	0.4%
Other values (8)	4067	2.5%
(Missing)	150460	91.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
anil	2201	7.4%
c	1446	4.9%
shamshuddin	1446	4.9%
chaudhary	1224	4.1%
s	1163	3.9%
ravi	1163	3.9%
nitin	1125	3.8%
menon	1125	3.8%
o	1115	3.7%
nandan	1115	3.7%
Other values (26)	16675	56.0%

Most occurring characters

Value	Count	Frequency (%)
a	22386	12.3%
n	18235	10.0%
	15508	8.5%
i	11898	6.5%
e	11010	6.1%
r	10840	6.0%
h	10447	5.7%
d	9835	5.4%
u	6738	3.7%
s	6028	3.3%
Other values (31)	59050	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135707	74.6%
Uppercase Letter	30279	16.6%
Space Separator	15508	8.5%
Other Punctuation	481	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	22386	16.5%
n	18235	13.4%
i	11898	8.8%
e	11010	8.1%
r	10840	8.0%
h	10447	7.7%
d	9835	7.2%
u	6738	5.0%
s	6028	4.4%
m	4849	3.6%
Other values (13)	23441	17.3%

Uppercase Letter

Value	Count	Frequency (%)
A	3904	12.9%
N	3462	11.4%
C	3376	11.1%
K	3164	10.4%
S	3101	10.2%
D	2420	8.0%
R	1893	6.3%
M	1605	5.3%
O	1550	5.1%
V	1461	4.8%
Other values (6)	4343	14.3%

Space Separator

Value	Count	Frequency (%)
	15508	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	481	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	165986	91.2%
Common	15989	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	22386	13.5%
n	18235	11.0%
i	11898	7.2%
e	11010	6.6%
r	10840	6.5%
h	10447	6.3%
d	9835	5.9%
u	6738	4.1%
s	6028	3.6%
m	4849	2.9%
Other values (29)	53720	32.4%

Common

Value	Count	Frequency (%)
	15508	97.0%
.	481	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	22386	12.3%
n	18235	10.0%
	15508	8.5%
i	11898	6.5%
e	11010	6.1%
r	10840	6.0%
h	10447	5.7%
d	9835	5.4%
u	6738	3.7%
s	6028	3.3%
Other values (31)	59050	32.4%

Interactions

Correlations

	ball	batsman_runs	batting_team	bowling_team	bye_runs	city	dismissal_kind	dl_applied	extra_runs	id	inning	is_super_over	legbye_runs	match_id	noball_runs	over	penalty_runs	result	season	team1	team2	toss_decision	toss_winner	total_runs	umpire3	venue	wide_runs	win_by_runs	win_by_wickets	winner
ball	1.000	0.011	0.000	0.000	0.004	0.000	0.023	0.000	-0.005	-0.002	0.000	0.000	-0.006	-0.002	0.001	-0.009	0.000	0.000	-0.003	0.000	0.000	0.000	0.000	0.009	0.000	0.000	-0.005	0.002	-0.002	0.000
batsman_runs	0.011	1.000	0.014	0.011	0.027	0.033	0.350	0.008	-0.218	0.026	0.007	0.010	-0.132	0.026	0.034	0.135	0.000	0.003	0.040	0.011	0.013	0.020	0.012	0.941	0.035	0.031	-0.173	0.003	-0.010	0.014
batting_team	0.000	0.014	1.000	0.124	0.004	0.360	0.020	0.139	0.005	0.154	0.058	0.014	0.000	0.154	0.004	0.000	0.004	0.077	0.271	0.490	0.445	0.178	0.455	0.011	0.357	0.379	0.005	0.085	0.090	0.437
bowling_team	0.000	0.011	0.124	1.000	0.004	0.361	0.028	0.150	0.008	0.153	0.063	0.013	0.003	0.153	0.004	0.000	0.000	0.074	0.272	0.448	0.489	0.180	0.469	0.008	0.355	0.380	0.008	0.086	0.087	0.468
bye_runs	0.004	0.027	0.004	0.004	1.000	0.009	1.000	0.000	0.349	0.000	0.005	0.002	0.000	0.000	0.000	0.027	0.000	0.000	0.006	0.000	0.000	0.005	0.002	0.125	0.024	0.008	0.000	0.000	0.004	0.002
city	0.000	0.033	0.360	0.361	0.009	1.000	0.047	0.205	0.013	0.478	0.032	0.056	0.005	0.478	0.011	0.000	0.014	0.209	0.404	0.406	0.381	0.338	0.373	0.027	0.571	0.970	0.010	0.215	0.214	0.417
dismissal_kind	0.023	0.350	0.020	0.028	1.000	0.047	1.000	0.011	0.238	0.061	0.016	0.000	0.271	0.061	0.048	0.071	1.000	0.000	0.028	0.017	0.023	0.015	0.024	0.254	0.061	0.040	0.238	0.008	0.003	0.029
dl_applied	0.000	0.008	0.139	0.150	0.000	0.205	0.011	1.000	0.004	0.039	0.034	0.000	0.000	0.039	0.000	0.047	0.000	0.016	0.120	0.127	0.206	0.032	0.256	0.009	0.466	0.204	0.007	0.054	0.072	0.230
extra_runs	-0.005	-0.218	0.005	0.008	0.349	0.013	0.238	0.004	1.000	-0.014	0.000	0.005	0.548	-0.014	0.191	0.002	0.709	0.005	-0.016	0.003	0.005	0.005	0.006	0.108	0.017	0.013	0.741	0.002	-0.003	0.008
id	-0.002	0.026	0.154	0.153	0.000	0.478	0.061	0.039	-0.014	1.000	0.006	0.006	-0.010	1.000	0.004	0.006	0.000	0.035	0.612	0.156	0.186	0.149	0.162	0.017	1.000	0.297	-0.005	-0.015	-0.015	0.160
inning	0.000	0.007	0.058	0.063	0.005	0.032	0.016	0.034	0.000	0.006	1.000	1.000	0.000	0.006	0.009	0.052	0.000	0.151	0.011	0.021	0.009	0.004	0.017	0.008	0.000	0.032	0.000	0.011	0.021	0.012
is_super_over	0.000	0.010	0.014	0.013	0.002	0.056	0.000	0.000	0.005	0.006	1.000	1.000	0.000	0.006	0.015	0.064	0.000	0.209	0.020	0.036	0.018	0.000	0.028	0.015	1.000	0.056	0.000	0.013	0.022	0.021
legbye_runs	-0.006	-0.132	0.000	0.003	0.000	0.005	0.271	0.000	0.548	-0.010	0.000	0.000	1.000	-0.010	0.000	0.000	0.000	0.003	-0.011	0.000	0.000	0.001	0.000	0.053	0.018	0.004	-0.023	0.005	-0.007	0.000
match_id	-0.002	0.026	0.154	0.153	0.000	0.478	0.061	0.039	-0.014	1.000	0.006	0.006	-0.010	1.000	0.004	0.006	0.000	0.035	0.612	0.156	0.186	0.149	0.162	0.017	1.000	0.297	-0.005	-0.015	-0.015	0.160
noball_runs	0.001	0.034	0.004	0.004	0.000	0.011	0.048	0.000	0.191	0.004	0.009	0.015	0.000	0.004	1.000	0.018	0.000	0.004	0.007	0.000	0.002	0.002	0.003	0.169	0.017	0.012	0.001	0.000	0.000	0.002
over	-0.009	0.135	0.000	0.000	0.027	0.000	0.071	0.047	0.002	0.006	0.052	0.064	0.000	0.006	0.018	1.000	0.000	0.009	0.005	0.000	0.000	0.000	0.000	0.134	0.000	0.000	-0.012	0.022	-0.039	0.000
penalty_runs	0.000	0.000	0.004	0.000	0.000	0.014	1.000	0.000	0.709	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.002	0.000	0.000	0.121	1.000	0.013	0.047	0.000	0.005	0.006
result	0.000	0.003	0.077	0.074	0.000	0.209	0.000	0.016	0.005	0.035	0.151	0.209	0.003	0.035	0.004	0.009	0.000	1.000	0.107	0.137	0.083	0.019	0.102	0.003	1.000	0.207	0.000	0.053	0.084	0.113
season	-0.003	0.040	0.271	0.272	0.006	0.404	0.028	0.120	-0.016	0.612	0.011	0.020	-0.011	0.612	0.007	0.005	0.000	0.107	1.000	0.280	0.283	0.333	0.275	0.030	1.000	0.434	-0.005	-0.032	-0.009	0.275
team1	0.000	0.011	0.490	0.448	0.000	0.406	0.017	0.127	0.003	0.156	0.021	0.036	0.000	0.156	0.000	0.000	0.000	0.137	0.280	1.000	0.171	0.227	0.384	0.009	0.516	0.421	0.004	0.122	0.166	0.413
team2	0.000	0.013	0.445	0.489	0.000	0.381	0.023	0.206	0.005	0.186	0.009	0.018	0.000	0.186	0.002	0.000	0.002	0.083	0.283	0.171	1.000	0.155	0.607	0.010	0.567	0.408	0.007	0.144	0.134	0.553
toss_decision	0.000	0.020	0.178	0.180	0.005	0.338	0.015	0.032	0.005	0.149	0.004	0.000	0.001	0.149	0.002	0.000	0.000	0.019	0.333	0.227	0.155	1.000	0.232	0.020	0.523	0.390	0.008	0.108	0.149	0.235
toss_winner	0.000	0.012	0.455	0.469	0.002	0.373	0.024	0.256	0.006	0.162	0.017	0.028	0.000	0.162	0.003	0.000	0.000	0.102	0.275	0.384	0.607	0.232	1.000	0.011	0.542	0.399	0.007	0.151	0.116	0.501
total_runs	0.009	0.941	0.011	0.008	0.125	0.027	0.254	0.009	0.108	0.017	0.008	0.015	0.053	0.017	0.169	0.134	0.121	0.003	0.030	0.009	0.010	0.020	0.011	1.000	0.029	0.025	0.070	0.004	-0.011	0.011
umpire3	0.000	0.035	0.357	0.355	0.024	0.571	0.061	0.466	0.017	1.000	0.000	1.000	0.018	1.000	0.017	0.000	1.000	1.000	1.000	0.516	0.567	0.523	0.542	0.029	1.000	0.571	0.013	0.610	0.498	0.517
venue	0.000	0.031	0.379	0.380	0.008	0.970	0.040	0.204	0.013	0.297	0.032	0.056	0.004	0.297	0.012	0.000	0.013	0.207	0.434	0.421	0.408	0.390	0.399	0.025	0.571	1.000	0.012	0.228	0.224	0.430
wide_runs	-0.005	-0.173	0.005	0.008	0.000	0.010	0.238	0.007	0.741	-0.005	0.000	0.000	-0.023	-0.005	0.001	-0.012	0.047	0.000	-0.005	0.004	0.007	0.008	0.007	0.070	0.013	0.012	1.000	-0.004	0.004	0.008
win_by_runs	0.002	0.003	0.085	0.086	0.000	0.215	0.008	0.054	0.002	-0.015	0.011	0.013	0.005	-0.015	0.000	0.022	0.000	0.053	-0.032	0.122	0.144	0.108	0.151	0.004	0.610	0.228	-0.004	1.000	-0.840	0.116
win_by_wickets	-0.002	-0.010	0.090	0.087	0.004	0.214	0.003	0.072	-0.003	-0.015	0.021	0.022	-0.007	-0.015	0.000	-0.039	0.005	0.084	-0.009	0.166	0.134	0.149	0.116	-0.011	0.498	0.224	0.004	-0.840	1.000	0.138
winner	0.000	0.014	0.437	0.468	0.002	0.417	0.029	0.230	0.008	0.160	0.012	0.021	0.000	0.160	0.002	0.000	0.006	0.113	0.275	0.413	0.553	0.235	0.501	0.011	0.517	0.430	0.008	0.116	0.138	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	match_id	inning	batting_team	bowling_team	over	ball	batsman	non_striker	bowler	wide_runs	legbye_runs	noball_runs	batsman_runs	extra_runs	total_runs	player_dismissed	dismissal_kind	fielder	id	season	city	date	team1	team2	toss_winner	toss_decision	result	winner	win_by_runs	player_of_match	venue	umpire1	umpire2	umpire3
0	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	1	DA Warner	S Dhawan	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
1	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	2	DA Warner	S Dhawan	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
2	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	3	DA Warner	S Dhawan	TS Mills	0	0	0	4	0	4	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
3	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	4	DA Warner	S Dhawan	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
4	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	5	DA Warner	S Dhawan	TS Mills	2	0	0	0	2	2	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
5	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	6	S Dhawan	DA Warner	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
6	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	7	S Dhawan	DA Warner	TS Mills	0	1	0	0	1	1	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
7	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	2	1	S Dhawan	DA Warner	A Choudhary	0	0	0	1	0	1	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
8	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	2	2	DA Warner	S Dhawan	A Choudhary	0	0	0	4	0	4	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN
9	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	2	3	DA Warner	S Dhawan	A Choudhary	0	0	1	0	1	1	NaN	NaN	NaN	1	2017	Hyderabad	2017-04-05	Sunrisers Hyderabad	Royal Challengers Bangalore	Royal Challengers Bangalore	field	normal	Sunrisers Hyderabad	35	Yuvraj Singh	Rajiv Gandhi International Stadium, Uppal	AY Dandekar	NJ Llong	NaN

	match_id	inning	batting_team	bowling_team	over	ball	batsman	non_striker	bowler	batsman_runs	total_runs	player_dismissed	dismissal_kind	fielder	id	season	city	date	team1	team2	toss_winner	toss_decision	result	winner	win_by_wickets	player_of_match	venue	umpire1	umpire2	umpire3
164740	7953	2	Chennai Super Kings	Sunrisers Hyderabad	17	6	SR Watson	AT Rayudu	Rashid Khan	4	4	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164741	7953	2	Chennai Super Kings	Sunrisers Hyderabad	18	1	AT Rayudu	SR Watson	S Kaul	1	1	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164742	7953	2	Chennai Super Kings	Sunrisers Hyderabad	18	2	SR Watson	AT Rayudu	S Kaul	1	1	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164743	7953	2	Chennai Super Kings	Sunrisers Hyderabad	18	3	AT Rayudu	SR Watson	S Kaul	1	1	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164744	7953	2	Chennai Super Kings	Sunrisers Hyderabad	18	4	SR Watson	AT Rayudu	S Kaul	4	4	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164745	7953	2	Chennai Super Kings	Sunrisers Hyderabad	18	5	SR Watson	AT Rayudu	S Kaul	4	4	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164746	7953	2	Chennai Super Kings	Sunrisers Hyderabad	18	6	SR Watson	AT Rayudu	S Kaul	0	0	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164747	7953	2	Chennai Super Kings	Sunrisers Hyderabad	19	1	AT Rayudu	SR Watson	CR Brathwaite	0	0	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164748	7953	2	Chennai Super Kings	Sunrisers Hyderabad	19	2	AT Rayudu	SR Watson	CR Brathwaite	0	0	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon
164749	7953	2	Chennai Super Kings	Sunrisers Hyderabad	19	3	AT Rayudu	SR Watson	CR Brathwaite	4	4	NaN	NaN	NaN	7953	2018	Mumbai	27/05/18	Sunrisers Hyderabad	Chennai Super Kings	Chennai Super Kings	field	normal	Chennai Super Kings	8	SR Watson	Wankhede Stadium	Marais Erasmus	S Ravi	Nitin Menon

Duplicate rows

Most frequently occurring

	match_id	inning	batting_team	bowling_team	over	ball	batsman	non_striker	bowler	batsman_runs	total_runs	player_dismissed	dismissal_kind	fielder	id	season	city	date	team1	team2	toss_winner	toss_decision	result	winner	win_by_runs	player_of_match	venue	umpire1	umpire2	umpire3	# duplicates
0	221	1	Mumbai Indians	Delhi Daredevils	4	1	SR Tendulkar	C Madan	PJ Sangwan	1	1	NaN	NaN	NaN	221	2010	Mumbai	2010-04-13	Mumbai Indians	Delhi Daredevils	Mumbai Indians	bat	normal	Mumbai Indians	39	KA Pollard	Brabourne Stadium	S Asnani	DJ Harper	NaN	2
1	7946	1	Rajasthan Royals	Royal Challengers Bangalore	4	4	AM Rahane	RA Tripathi	UT Yadav	4	4	NaN	NaN	NaN	7946	2018	Jaipur	19/05/18	Rajasthan Royals	Royal Challengers Bangalore	Rajasthan Royals	bat	normal	Rajasthan Royals	30	S Gopal	Sawai Mansingh Stadium	Bruce Oxenford	Virender Kumar Sharma	C Shamshuddin	2
2	7946	1	Rajasthan Royals	Royal Challengers Bangalore	4	5	AM Rahane	RA Tripathi	UT Yadav	1	1	NaN	NaN	NaN	7946	2018	Jaipur	19/05/18	Rajasthan Royals	Royal Challengers Bangalore	Rajasthan Royals	bat	normal	Rajasthan Royals	30	S Gopal	Sawai Mansingh Stadium	Bruce Oxenford	Virender Kumar Sharma	C Shamshuddin	2
3	7946	1	Rajasthan Royals	Royal Challengers Bangalore	13	5	RA Tripathi	AM Rahane	YS Chahal	0	0	NaN	NaN	NaN	7946	2018	Jaipur	19/05/18	Rajasthan Royals	Royal Challengers Bangalore	Rajasthan Royals	bat	normal	Rajasthan Royals	30	S Gopal	Sawai Mansingh Stadium	Bruce Oxenford	Virender Kumar Sharma	C Shamshuddin	2
4	7946	2	Royal Challengers Bangalore	Rajasthan Royals	10	1	AB de Villiers	Mandeep Singh	I Sodhi	0	0	NaN	NaN	NaN	7946	2018	Jaipur	19/05/18	Rajasthan Royals	Royal Challengers Bangalore	Rajasthan Royals	bat	normal	Rajasthan Royals	30	S Gopal	Sawai Mansingh Stadium	Bruce Oxenford	Virender Kumar Sharma	C Shamshuddin	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation